docs: def get_stories(label_type):
      """ Returns a list of the stories in the Na corpus. """
  
      prefixes = get_story_prefixes(label_type)
      texts = list(set([prefix.split(".")[0].split("/")[1] for prefix in prefixes]))
      return texts